Nithish Muthuchamy Selvaraj

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About

Nithish Muthuchamy Selvaraj is a robotics and automation researcher whose work bridges the gap between physical construction, human-robot interaction, and dependable perception systems. His most influential contribution, "Platform-independent visual installation progress monitoring for construction automation" (22 citations), introduces a novel framework for automating progress tracking on job sites—a critical step toward fully autonomous construction workflows. In human-robot collaboration, Selvaraj’s work on "Interaction Task Motion Learning for Human–Robot Interaction Control" (5 citations) moves beyond traditional teach-and-playback methods, enabling robots to learn and adapt to human motion for safer, more intuitive cooperation. He also tackles fundamental challenges in perception, proposing methods for dependable object detection and dynamic object removal from point clouds—essential for autonomous vehicles and mobile robotics. Across these projects, Selvaraj demonstrates a consistent focus on making autonomous systems more reliable, adaptable, and practically deployable. His research is particularly notable for its emphasis on platform independence and real-world applicability, ensuring that advances in construction robotics, human-robot teams, and perception algorithms can transition from the lab to industry.